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<div class="title">GraphUtils.h</div>  </div>
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<a href="_graph_utils_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_GRAPH_UTILS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_GRAPH_UTILS_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_pixel_value_8h.xhtml">arm_compute/core/PixelValue.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_utility_8h.xhtml">arm_compute/core/utils/misc/Utility.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_graph_8h.xhtml">arm_compute/graph/Graph.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_tensor_accessor_8h.xhtml">arm_compute/graph/ITensorAccessor.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2graph_2_types_8h.xhtml">arm_compute/graph/Types.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &lt;array&gt;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#include &lt;random&gt;</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#include &lt;string&gt;</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;{</div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml">   41</a></span>&#160;<span class="keyword">namespace </span>graph_utils</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">   44</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">IPreprocessor</a></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;{</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#a145ae89877c556306c3b0a8d869b33f3">~IPreprocessor</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">preprocess</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &amp;tensor) = 0;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;};</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml">   57</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml">CaffePreproccessor</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">IPreprocessor</a></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;{</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <a class="code" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml">CaffePreproccessor</a>(std::array&lt;float, 3&gt; mean = std::array&lt;float, 3&gt; { { 0, 0, 0 } }, <span class="keywordtype">bool</span> bgr = <span class="keyword">true</span>);</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">preprocess</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &amp;tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    std::array&lt;float, 3&gt; _mean;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="keywordtype">bool</span> _bgr;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;};</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml">   74</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml">TFPreproccessor</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">IPreprocessor</a></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;{</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">preprocess</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &amp;tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;};</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">   81</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">PPMWriter</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;{</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">PPMWriter</a>(std::string name, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maximum = 1);</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    <a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">PPMWriter</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">PPMWriter</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &amp;tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    <span class="keyword">const</span> std::string _name;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>      _iterator;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>      _maximum;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;};</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">  103</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;{</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maximum = 1);</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    <a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &amp;tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _iterator;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _maximum;</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;};</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">  123</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">NumPyAccessor</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;{</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">NumPyAccessor</a>(std::string npy_path, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, std::ostream &amp;output_stream = std::cout);</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">NumPyAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">NumPyAccessor</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160; 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   <span class="keyword">const</span> std::string              _ppm_path;</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">bool</span>                     _bgr;</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    std::unique_ptr&lt;IPreprocessor&gt; _preprocessor;</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;};</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;</div><div class="line"><a name="l00177"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">  177</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;{</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160; 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<a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2">get_random_accessor</a>(<a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> lower, <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> upper, <span class="keyword">const</span> std::random_device::result_type seed = 0)</div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;{</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;    <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique&lt;RandomAccessor&gt;(lower, upper, seed);</div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;}</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;</div><div class="line"><a name="l00275"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">  275</a></span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;graph::ITensorAccessor&gt; <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(<span class="keyword">const</span> std::string &amp;path,</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;                                                                    <span class="keyword">const</span> std::string &amp;data_file,</div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;                                                                    <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>         file_layout = <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;{</div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;    <span class="keywordflow">if</span>(path.empty())</div><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    {</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;        <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique&lt;DummyAccessor&gt;();</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    }</div><div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;    {</div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;        <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique&lt;NumPyBinLoader&gt;(path + data_file, file_layout);</div><div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;    }</div><div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;}</div><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;</div><div class="line"><a name="l00299"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a9984cc47279cdb732b7b83caf0627de6">  299</a></span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;graph::ITensorAccessor&gt; <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a9984cc47279cdb732b7b83caf0627de6">get_input_accessor</a>(<span class="keyword">const</span> std::string             &amp;ppm_path,</div><div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;                                                                  std::unique_ptr&lt;IPreprocessor&gt; preprocessor = <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;                                                                  <span class="keywordtype">bool</span>                           bgr          = <span class="keyword">true</span>)</div><div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;{</div><div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;    <span class="keywordflow">if</span>(ppm_path.empty())</div><div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    {</div><div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;        <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique&lt;DummyAccessor&gt;();</div><div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;    }</div><div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;    {</div><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;        <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1utility.xhtml#aa8ea4e861e5782f66a5a90588e7cf904">arm_compute::utility::endswith</a>(ppm_path, <span class="stringliteral">&quot;.npy&quot;</span>))</div><div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;        {</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;            <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique&lt;NumPyBinLoader&gt;(ppm_path);</div><div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;        }</div><div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;        <span class="keywordflow">else</span></div><div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;        {</div><div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;            <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique&lt;PPMAccessor&gt;(ppm_path, bgr, std::move(preprocessor));</div><div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;        }</div><div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;    }</div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;}</div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;</div><div class="line"><a name="l00330"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#aaf0c8eff756108c8bb23aecf51d44f79">  330</a></span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;graph::ITensorAccessor&gt; <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#aaf0c8eff756108c8bb23aecf51d44f79">get_output_accessor</a>(<span class="keyword">const</span> std::string &amp;labels_path, <span class="keywordtype">size_t</span> top_n = 5, std::ostream &amp;output_stream = std::cout)</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;{</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;    <span class="keywordflow">if</span>(labels_path.empty())</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;    {</div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;        <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique&lt;DummyAccessor&gt;(0);</div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;    }</div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;    {</div><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;        <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique&lt;TopNPredictionsAccessor&gt;(labels_path, top_n, output_stream);</div><div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;    }</div><div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;}</div><div class="line"><a name="l00352"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a2347ca9557fd9e841d5f2104b1687996">  352</a></span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;graph::ITensorAccessor&gt; <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a2347ca9557fd9e841d5f2104b1687996">get_npy_output_accessor</a>(<span class="keyword">const</span> std::string &amp;npy_path, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, std::ostream &amp;output_stream = std::cout)</div><div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;{</div><div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;    <span class="keywordflow">if</span>(npy_path.empty())</div><div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;    {</div><div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;        <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique&lt;DummyAccessor&gt;(0);</div><div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;    }</div><div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;    {</div><div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;        <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique&lt;NumPyAccessor&gt;(npy_path, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, output_stream);</div><div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;    }</div><div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;}</div><div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;</div><div class="line"><a name="l00370"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ab6dc388200717b5fae17342af13f5e41">  370</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">graph::Target</a> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#ab6dc388200717b5fae17342af13f5e41">set_target_hint</a>(<span class="keywordtype">int</span> target)</div><div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;{</div><div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;    <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(target &gt; 3, <span class="stringliteral">&quot;Invalid target. Target must be 0 (NEON), 1 (OpenCL), 2 (OpenCL + Tuner), 3 (GLES)&quot;</span>);</div><div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;    <span class="keywordflow">if</span>((target == 1 || target == 2))</div><div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;    {</div><div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0">graph::Target::CL</a>;</div><div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;    }</div><div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;    <span class="keywordflow">else</span> <span class="keywordflow">if</span>(target == 3)</div><div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;    {</div><div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da7359c3eb5c57547295a76ac1bf775b29">graph::Target::GC</a>;</div><div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;    }</div><div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;    {</div><div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35dacaf162e9233294cadf62d2a71a14ca09">graph::Target::NEON</a>;</div><div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;    }</div><div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;}</div><div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;} <span class="comment">// namespace graph_utils</span></div><div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;</div><div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_GRAPH_UTILS_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="_pixel_value_8h_xhtml"><div class="ttname"><a href="_pixel_value_8h.xhtml">PixelValue.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_ab6dc388200717b5fae17342af13f5e41"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#ab6dc388200717b5fae17342af13f5e41">arm_compute::graph_utils::set_target_hint</a></div><div class="ttdeci">graph::Target set_target_hint(int target)</div><div class="ttdoc">Utility function to return the TargetHint. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00370">GraphUtils.h:370</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35dacaf162e9233294cadf62d2a71a14ca09"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35dacaf162e9233294cadf62d2a71a14ca09">arm_compute::graph::Target::NEON</a></div><div class="ttdoc">NEON capable target device. </div></div>
<div class="ttc" id="classarm__compute_1_1_pixel_value_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pixel_value.xhtml">arm_compute::PixelValue</a></div><div class="ttdoc">Class describing the value of a pixel for any image format. </div><div class="ttdef"><b>Definition:</b> <a href="_pixel_value_8h_source.xhtml#l00034">PixelValue.h:34</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00133">Convolution.cpp:133</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_dummy_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">arm_compute::graph_utils::DummyAccessor</a></div><div class="ttdoc">Dummy accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00103">GraphUtils.h:103</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a2347ca9557fd9e841d5f2104b1687996"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a2347ca9557fd9e841d5f2104b1687996">arm_compute::graph_utils::get_npy_output_accessor</a></div><div class="ttdeci">std::unique_ptr&lt; graph::ITensorAccessor &gt; get_npy_output_accessor(const std::string &amp;npy_path, TensorShape shape, DataType data_type, std::ostream &amp;output_stream=std::cout)</div><div class="ttdoc">Generates appropriate npy output accessor according to the specified npy_path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00352">GraphUtils.h:352</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_aaf0c8eff756108c8bb23aecf51d44f79"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#aaf0c8eff756108c8bb23aecf51d44f79">arm_compute::graph_utils::get_output_accessor</a></div><div class="ttdeci">std::unique_ptr&lt; graph::ITensorAccessor &gt; get_output_accessor(const std::string &amp;labels_path, size_t top_n=5, std::ostream &amp;output_stream=std::cout)</div><div class="ttdoc">Generates appropriate output accessor according to the specified labels_path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00330">GraphUtils.h:330</a></div></div>
<div class="ttc" id="arm__compute_2graph_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2graph_2_types_8h.xhtml">Types.h</a></div></div>
<div class="ttc" id="_graph_8h_xhtml"><div class="ttname"><a href="_graph_8h.xhtml">Graph.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml">arm_compute::graph_utils::CaffePreproccessor</a></div><div class="ttdoc">Caffe preproccessor. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00057">GraphUtils.h:57</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_ab7e905c7bfd2944e67bd069a3de3e7a2"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2">arm_compute::graph_utils::get_random_accessor</a></div><div class="ttdeci">std::unique_ptr&lt; graph::ITensorAccessor &gt; get_random_accessor(PixelValue lower, PixelValue upper, const std::random_device::result_type seed=0)</div><div class="ttdoc">Generates appropriate random accessor. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00260">GraphUtils.h:260</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_i_preprocessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">arm_compute::graph_utils::IPreprocessor</a></div><div class="ttdoc">Preprocessor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00044">GraphUtils.h:44</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_p_p_m_writer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">arm_compute::graph_utils::PPMWriter</a></div><div class="ttdoc">PPM writer class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00081">GraphUtils.h:81</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">GEMM.cpp:116</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35da7359c3eb5c57547295a76ac1bf775b29"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da7359c3eb5c57547295a76ac1bf775b29">arm_compute::graph::Target::GC</a></div><div class="ttdoc">GLES compute capable target device. </div></div>
<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_i_preprocessor_xhtml_ae699b63165de5182fda5a2337009641f"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">arm_compute::graph_utils::IPreprocessor::preprocess</a></div><div class="ttdeci">virtual void preprocess(ITensor &amp;tensor)=0</div><div class="ttdoc">Preprocess the given tensor. </div></div>
<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">arm_compute::graph_utils::NumPyBinLoader</a></div><div class="ttdoc">Numpy Binary loader class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00232">GraphUtils.h:232</a></div></div>
<div class="ttc" id="_i_tensor_accessor_8h_xhtml"><div class="ttname"><a href="_i_tensor_accessor_8h.xhtml">ITensorAccessor.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_num_py_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">arm_compute::graph_utils::NumPyAccessor</a></div><div class="ttdoc">NumPy accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00123">GraphUtils.h:123</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a9984cc47279cdb732b7b83caf0627de6"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a9984cc47279cdb732b7b83caf0627de6">arm_compute::graph_utils::get_input_accessor</a></div><div class="ttdeci">std::unique_ptr&lt; graph::ITensorAccessor &gt; get_input_accessor(const std::string &amp;ppm_path, std::unique_ptr&lt; IPreprocessor &gt; preprocessor=nullptr, bool bgr=true)</div><div class="ttdoc">Generates appropriate input accessor according to the specified ppm_path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00299">GraphUtils.h:299</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml">arm_compute::Tensor</a></div><div class="ttdoc">Basic implementation of the tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="runtime_2_tensor_8h_source.xhtml#l00037">Tensor.h:37</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utility_xhtml_aa8ea4e861e5782f66a5a90588e7cf904"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#aa8ea4e861e5782f66a5a90588e7cf904">arm_compute::utility::endswith</a></div><div class="ttdeci">bool endswith(const std::string &amp;filename, const std::string &amp;suffix)</div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00168">Utility.h:168</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35d"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">arm_compute::graph::Target</a></div><div class="ttdeci">Target</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00084">Types.h:84</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">arm_compute::DataLayout::NCHW</a></div><div class="ttdoc">Num samples, channels, height, width. </div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_tensor_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">arm_compute::graph::ITensorAccessor</a></div><div class="ttdoc">Tensor accessor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_accessor_8h_source.xhtml#l00036">ITensorAccessor.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_i_preprocessor_xhtml_a145ae89877c556306c3b0a8d869b33f3"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#a145ae89877c556306c3b0a8d869b33f3">arm_compute::graph_utils::IPreprocessor::~IPreprocessor</a></div><div class="ttdeci">virtual ~IPreprocessor()=default</div><div class="ttdoc">Default destructor. </div></div>
<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml">arm_compute::graph_utils::TFPreproccessor</a></div><div class="ttdoc">TF preproccessor. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00074">GraphUtils.h:74</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">arm_compute::graph_utils::TopNPredictionsAccessor</a></div><div class="ttdoc">Result accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00177">GraphUtils.h:177</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml">arm_compute::graph_utils::PPMAccessor</a></div><div class="ttdoc">PPM accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00154">GraphUtils.h:154</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a30bee0b52a919bbcb1dc48b1b6546a16"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">arm_compute::graph_utils::get_weights_accessor</a></div><div class="ttdeci">std::unique_ptr&lt; graph::ITensorAccessor &gt; get_weights_accessor(const std::string &amp;path, const std::string &amp;data_file, DataLayout file_layout=DataLayout::NCHW)</div><div class="ttdoc">Generates appropriate weights accessor according to the specified path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00275">GraphUtils.h:275</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_random_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml">arm_compute::graph_utils::RandomAccessor</a></div><div class="ttdoc">Random accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00207">GraphUtils.h:207</a></div></div>
<div class="ttc" id="_utility_8h_xhtml"><div class="ttname"><a href="_utility_8h.xhtml">Utility.h</a></div></div>
<div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00072">Types.h:72</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0">arm_compute::graph::Target::CL</a></div><div class="ttdoc">OpenCL capable target device. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">Supported tensor data layouts. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00110">Types.h:110</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00319">Error.h:319</a></div></div>
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